Crowdsourcing based subjective quality assessment of adaptive video streaming

Author

Shahid, Muhammad ; Sogaard, Jacob ; Pokhrel, Jeevan ; Brunnstrom, K. ; Wang, Kangping ; Tavakoli, S. ; Gracia, N.

Author_Institution

Blekinge Inst. of Technol., Karlskrona, Sweden

fYear

2014

fDate

18-20 Sept. 2014

Firstpage

53

Lastpage

54

Abstract

In order to cater for user´s quality of experience (QoE) requirements, HTTP adaptive streaming (HAS) based solutions of video services have become popular recently. User QoE feedback can be instrumental in improving the capabilities of such services. Perceptual quality experiments that involve humans are considered to be the most valid method of the assessment of QoE. Besides lab-based subjective experiments, crowdsourcing based subjective assessment of video quality is gaining popularity as an alternative method. This paper presents insights into a study that investigates perceptual preferences of various adaptive video streaming scenarios through crowdsourcing based subjective quality assessment.

Keywords

hypermedia; quality of experience; video streaming; HAS based solutions; HTTP adaptive streaming based solutions; QoE assessment; QoE feedback; adaptive video streaming; crowdsourcing based subjective quality assessment; user quality of experience; video services; Bit rate; Conferences; Crowdsourcing; Multimedia communication; Quality assessment; Streaming media; Video recording; Adaptive streaming; Buffering; Crowdsourcing; Subjective; Video quality assessment;

fLanguage

English

Publisher

ieee

Conference_Titel

Quality of Multimedia Experience (QoMEX), 2014 Sixth International Workshop on

Conference_Location

Singapore

Type

conf

DOI

10.1109/QoMEX.2014.6982289

Filename

6982289